Moallem U
Department of Ruminant Science, Institute of Animal Sciences, the Volcani Center, PO Box 6, Bet-Dagan, 50250 Israel.
J Dairy Sci. 2016 Apr;99(4):2986-2995. doi: 10.3168/jds.2015-10494. Epub 2016 Feb 3.
The objectives were to examine the gross and marginal production efficiencies in high-yielding dairy cows and the future consequences on dairy industry profitability. Data from 2 experiments were used in across-treatments analysis (n=82 mid-lactation multiparous Israeli-Holstein dairy cows). Milk yields, body weights (BW), and dry matter intakes (DMI) were recorded daily. In both experiments, cows were fed a diet containing 16.5 to 16.6% crude protein and net energy for lactation (NEL) at 1.61 Mcal/kg of dry matter (DM). The means of milk yield, BW, DMI, NEL intake, and energy required for maintenance were calculated individually over the whole study, and used to calculate gross and marginal efficiencies. Data were analyzed in 2 ways: (1) simple correlation between variables; and (2) cows were divided into 3 subgroups, designated low, moderate, and high DMI (LDMI, MDMI, and HDMI), according to actual DMI per day: ≤ 26 kg (n=27); >26 through 28.2 kg (n=28); and >28.2 kg (n=27). The phenotypic Pearson correlations among variables were analyzed, and the GLM procedure was used to test differences between subgroups. The relationships between milk and fat-corrected milk yields and the corresponding gross efficiencies were positive, whereas BW and gross production efficiency were negatively correlated. The marginal production efficiency from DM and energy consumed decreased with increasing DMI. The difference between BW gain as predicted by the National Research Council model (2001) and the present measurements increased with increasing DMI (r=0.68). The average calculated energy balances were 1.38, 2.28, and 4.20 Mcal/d (standard error of the mean=0.64) in the LDMI, MDMI, and HDMI groups, respectively. The marginal efficiency for milk yields from DMI or energy consumed was highest in LDMI, intermediate in MDMI, and lowest in HDMI. The predicted BW gains for the whole study period were 22.9, 37.9, and 75.8 kg for the LDMI, MDMI, and HDMI groups, respectively. The present study demonstrated that marginal production efficiency decreased with increasing feed intake. Because of the close association between production and intake, the principle of diminishing marginal productivity may explain why increasing milk production (and consequently increasing intake) does not always enhance profitability. To maintain high production efficiency in the future, more attention should be given to optimizing rather than maximizing feed intake, a goal that could be achieved by nutritional manipulations that would increase digestibility or by using a diet of denser nutrients that would provide all nutritional requirements from lower intake.
本研究旨在考察高产奶牛的总生产效率和边际生产效率,以及对奶牛业盈利能力的未来影响。在跨处理分析中使用了来自2项试验的数据(n = 82头处于泌乳中期的经产以色列-荷斯坦奶牛)。每天记录产奶量、体重(BW)和干物质摄入量(DMI)。在两项试验中,给奶牛饲喂的日粮含有16.5%至16.6%的粗蛋白,泌乳净能(NEL)为1.61兆卡/千克干物质(DM)。在整个研究过程中分别计算产奶量、BW、DMI、NEL摄入量和维持所需能量的平均值,并用于计算总效率和边际效率。数据采用两种方式进行分析:(1)变量之间的简单相关性;(2)根据每天的实际DMI将奶牛分为3个亚组,分别为低、中、高DMI组(LDMI、MDMI和HDMI):≤26千克(n = 27);>26至28.2千克(n = 28);>28.2千克(n = 27)。分析变量之间的表型Pearson相关性,并使用GLM程序检验亚组之间的差异。牛奶产量和脂肪校正乳产量与相应的总效率之间呈正相关,而BW与总生产效率呈负相关。随着DMI的增加,来自消耗的DM和能量的边际生产效率降低。美国国家研究委员会模型(2001年)预测的BW增加量与当前测量值之间的差异随着DMI的增加而增大(r = 0.68)。LDMI、MDMI和HDMI组的平均计算能量平衡分别为1.3 <|FunctionCallBegin|>[{"name":"GptPlugin","parameters": {"name":"翻译","parameters": {"input":"8","to":"中文"}}}]<|FunctionCallEnd|>